Arbeitspapier
On Complete Convergence in Marcinkiewicz-Zygmund Type SLLN for END Random Variables and its Applications
In this paper, the complete convergence for maximal weighted sums of extended negatively dependent (END, for short) random variables is investigated. Some sucient conditions for the complete convergence and some applications to a nonparametric model are provided. The results obtained in the paper generalise and improve the corresponding ones of Wang el al. (2014b) and Shen, Xue, and Wang (2017).
- Sprache
-
Englisch
- Erschienen in
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Series: IRTG 1792 Discussion Paper ; No. 2018-042
- Klassifikation
-
Wirtschaft
Mathematical and Quantitative Methods: General
- Thema
-
Complete convergence
Maximal weighted sums
Extended negatively dependent
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Yan, Ji Gao
- Ereignis
-
Veröffentlichung
- (wer)
-
Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"
- (wo)
-
Berlin
- (wann)
-
2018
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Yan, Ji Gao
- Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"
Entstanden
- 2018
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